Precisely

JULY 21, 2023

This allows for easy development of the real-time customer experience and data-driven operations today’s world demands. Their flagship product, Confluent Cloud , provides a 10x Kafka service built for the cloud along with 120+ connectors , stream processing , stream governance , enterprise-grade security controls , and more.

Data Integration 52

Data Integration Kafka Bytes Banking 52

Snowflake

OCTOBER 2, 2023

Today’s consumer expects a personalized, relevant, end-to-end customer experience. Delivering this level of engagement can drive transformational growth, but it requires a new level of sophistication and a deep understanding of the customer. Why customer 360? Access to a complete view of the customer is incredibly powerful.

Cloud 100

Cloud Building Insurance Data Engineering 100

Knowledge Hut

MAY 2, 2024

Be it telecommunication, e-commerce, banking, insurance, healthcare, medicine, agriculture, biotechnology, etc. Also, Spark has scope for writing User Defined Analytical Functions and Functions (UDF/UDAF) for anyone who would like to have custom functions. Also, Spark and MapReduce do complement each other on many occasions.

Scala 94

Scala Hadoop Datasets Java 94

Towards Data Science

AUGUST 10, 2023

The customers I meet are sitting on a bunch of [data] and they want to get value out of it.” I’m not sure it’s 10X more effective.but it’s certainly 20% or 30% more effective and that’s meaningful for a lot of teams.” Many [banks and companies in the Fortune 2000] have just blocked [Gen AI] all together. Photo taken by author.

IT 82

IT Unstructured Data SQL BI 82

Monte Carlo

AUGUST 9, 2023

The customers I meet are sitting on a bunch of [data] and they want to get value out of it.” I’m not sure it’s 10X more effective.but it’s certainly 20% or 30% more effective and that’s meaningful for a lot of teams.” Many [banks and companies in the Fortune 2000] have just blocked [Gen AI] all together.

IT 52

IT Unstructured Data SQL BI 52

Monte Carlo

JUNE 28, 2023

It turns out that media, vendors, and customers all took the same strategy of splitting up their teams to have a presence at both. He then provided the number of Lakehouse customers, 10,000 active users, for the first time in the company’s history. From his perspective, this can only be done efficiently with platforms.

Data Warehouse 52

Data Warehouse Scala Unstructured Data Government 52